dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorComputer Science Master Program (Unifaccamp)
dc.contributorUniversidade Federal de Sergipe (UFS)
dc.date.accessioned2022-04-28T19:44:53Z
dc.date.accessioned2022-12-20T01:24:57Z
dc.date.available2022-04-28T19:44:53Z
dc.date.available2022-12-20T01:24:57Z
dc.date.created2022-04-28T19:44:53Z
dc.date.issued2021-01-01
dc.identifierLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12958 LNCS, p. 621-630.
dc.identifier1611-3349
dc.identifier0302-9743
dc.identifierhttp://hdl.handle.net/11449/222481
dc.identifier10.1007/978-3-030-87016-4_44
dc.identifier2-s2.0-85115678900
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5402611
dc.description.abstractEvaluating user behavior in virtual reality environments is a challenging task, requiring leading with spatial user freedom and with non-conventional visualization and interaction devices. By gathering and analyzing user movements and interactions, researchers and even game designers can notice important behavioral patterns and correlations. This paper aims to present an automatic motion and interaction tracking tool for virtual reality environments that allows researchers and game developers to move from the pure observational paradigm, such as video recording and questionnaires, to one that considers quantitative data. After gathering users’ data, the tool automatically generates charts to assist the analysis process and also allows the replaying of all user behavior executed in the application. A case study case is shown in which a user navigates and interacts in a virtual reality city performing instrumental activities of daily living (IADL). Using the tool presented here, we conclude that tracking user behavior automatically in a virtual reality environment is possible. To facilitate the software development process, we have developed a Unity Asset, allowing developers to use the tool easily by importing our asset into their projects.
dc.languageeng
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.sourceScopus
dc.subjectTracking
dc.subjectUser behavior
dc.subjectVirtual reality
dc.titleMotion and Interaction Tracking Tool for Virtual Reality Environments
dc.typeActas de congresos


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